• DocumentCode
    287185
  • Title

    Neural networks based current regulator for PWM inverters

  • Author

    Kazmierkowski, M.P. ; Viet, P.H. ; Dzieniakowski, M.A.

  • Author_Institution
    Inst. of Control & Ind. Electron., Warsaw Univ. of Technol., Poland
  • fYear
    1993
  • fDate
    13-16 Sep 1993
  • Firstpage
    186
  • Abstract
    This paper presents a neural network (NN) based current regulator for transistor PWM inverters. The neural network operates as a digital filter and tunes the controller gain. This NN regulator has the potential of replacing the linear PI regulator which is traditionally applied in the system with PWM modulators. The results of comparative study which illustrate the performance of the NN regulators in comparison to the systems with a PI regulator are presented. Also, learning possibilities and robustness to parameter change are discussed
  • Keywords
    control system synthesis; digital filters; electric current control; invertors; neural nets; pulse width modulation; PWM inverters; current regulator; digital filter; electric current control; gain; neural network; performance; power transistors; robustness;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Power Electronics and Applications, 1993., Fifth European Conference on
  • Conference_Location
    Brighton
  • Type

    conf

  • Filename
    264893